Fig. 6.

Clustering of myeloma samples based on genomic landscape: a Bayesian Dirichlet clustering process of the 418 MM cases (in columns) based on genomic variables (in rows, top panel), with verticals black lines showing separation between identified clusters. A zoomed in view for the karyotypic abnormalities is provided in the bottom panel. Cluster 1 is composed of three patients where no driver event could be identified. b For each of the four clusters, the histogram of the distribution of gene mutations (top) and that of the CNAs (bottom) are provided. c Progression-free (left) and overall survival (right) Kaplan–Meier analysis of the four clusters